Paper
1 August 1991 Use of spline expansions and regularization in the unfolding of data from spaceborne sensors
Thornton R. Fisher, Joseph D. Perez
Author Affiliations +
Abstract
In the analysis of data from spaceborne sensors, the problem frequently arises of determining the best estimate to a continuous spectrum based on a set of noisy data samples taken with broad, overlapping response functions. Examples of such data sets are the data from a retarding potential analyzer (RPA), or a set of line intensities from a solar x-ray spectrum which are to be used to estimate the Differential Emission Measure (DEM). Various approaches often suffer from such difficulties as ill-conditioned matrices, spurious structure, and non-physical negative values in the solution. This paper presents results from a smoothing spline approach, in which the spectrum is expanded in a space of cubic B-spline functions and the coefficients of the expansion are determined by regularization. The technique is first applied to model data which incorporate the general features of the RPA and DEM problems. An example is then given of a fit to data from the Retarding Ion Mass Spectrograph (RIMS) on the Dynamics Explorer 1 (DE-1) satellite.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thornton R. Fisher and Joseph D. Perez "Use of spline expansions and regularization in the unfolding of data from spaceborne sensors", Proc. SPIE 1479, Surveillance Technologies, (1 August 1991); https://doi.org/10.1117/12.44532
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Surveillance

Data modeling

Sensors

Ions

Statistical analysis

Matrices

Spectrographs

Back to Top